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Data Scientist

Lake Forest,IL

2038 Data Scientist jobs in Lake Forest,IL

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Statistical Scientist, Oncology (Biostatistics)

Astellas Pharma

Northbrook, IL 60065

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FSP Scientist - HPLC, Predictive Stability

Thermo Fisher Scientific

North Chicago, IL 60086

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Medical Laboratory Scientist (MLS)

Endeavor Health

Evanston, IL 60201

~ 29 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Education: Bachelor's or Associate's degree in a laboratory science or medical technology and/or the required courses to meet CLIA requirements for moderate to high complexity testing.
  • Certification: MT or MLS (ASCP) preferred
  • Experience: Experience preferred
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Market Information and Data Analytics (MIDA) - Business Analytics - Intern - Summer 2027

PwC

Des Plaines, IL 60018

New, Posted 5 hours ago
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Supplier Quality Technician II (1st Shift, M-F 8AM- 4:30PM)

Woodward

Niles, IL 60714

~ 27 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • 1st Shift Hours are 8:00pm-4:30pm CST
  • ITAR and EAR compliance: U.S. Persons required or eligible to obtain all required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce
  • U.S. Person as defined by ITAR/EAR (U.S. citizen or national, lawful permanent resident, or protected person)
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BAI - Competitive Intelligence Senior Manager, Rare Disease

Amgen

Deerfield, IL 60015

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Application Architect - Manhattan Active Warehouse Management

Abbott Laboratories

Waukegan, IL 60087

New, Posted 16 hours ago
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Laboratory Scientist

Aesku Bion

Des Plaines, IL 60016

New, Posted 16 hours ago
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Scientist I/II

AbbVie

North Chicago, IL 60064

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Sales Consultant (Life Sciences)

TriNet

Lake Forest, IL

RemoteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's Degree or equivalent experience preferred
  • Typically 3+ years B2B complex sales cycle preferred
  • Ability to travel to prospective clients' sites within your assigned territory
  • Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics
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